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Univariate and multivariate methods for very short-term solar photovoltaic power forecasting

Energy conversion and management, 2016-08, Vol.121, p.380-390

2016

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The relationship between medical comorbidities and health-related quality of life among adults with type 2 diabetes: The experience of different hospitals in southern Bangladesh

PloS one, 2022-05, Vol.17 (5), p.e0267713-e0267713

2022

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Association between comorbidity and health-related quality of life in a hypertensive population: a hospital-based study in Bangladesh

BMC public health, 2022-01, Vol.22 (1), p.181-181, Article 181

2022

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Neural Network Ensemble Based Approach for 2D-Interval Prediction of Solar Photovoltaic Power

Energies (Basel), 2016-10, Vol.9 (10), p.829-829

2016

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Forecasting electricity load with advanced wavelet neural networks

Neurocomputing (Amsterdam), 2016-03, Vol.182, p.118-132

2016

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Factors associated with low adherence to medication among patients with type 2 diabetes at different healthcare facilities in southern Bangladesh

Global health action, 2021-01, Vol.14 (1), p.1872895-1872895

2021

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Covariates of Knowledge, Attitude, Practice, and Burdens among the Caregivers of Hypertensive Patients

International journal of hypertension, 2023-08, Vol.2023, p.1-11

2023

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PKN3 is the major regulator of angiogenesis and tumor metastasis in mice

Scientific reports, 2016-01, Vol.6 (1), p.18979-18979, Article 18979

2016

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Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling

Sustainable Energy, Grids and Networks, 2020-03, Vol.21, p.100286, Article 100286

2020

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Impaired lymphocyte trafficking in mice deficient in the kinase activity of PKN1

Scientific reports, 2017-08, Vol.7 (1), p.7663-14, Article 7663

2017

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Prevalence and determinants of antibiotics self-medication among indigenous people of Bangladesh: a cross-sectional study

BMJ open, 2024-03, Vol.14 (3), p.e071504-e071504

2024

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Correlation and instance based feature selection for electricity load forecasting

Knowledge-based systems, 2015-07, Vol.82, p.29-40

2015

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A data-driven approach based on quantile regression forest to forecast cooling load for commercial buildings

Sustainable cities and society, 2022-01, Vol.76, p.103511, Article 103511

2022

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Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series, p.436-449

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Solar thermal generation forecast via deep learning and application to buildings cooling system control

Renewable energy, 2022-08, Vol.196, p.694-706

2022

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Solar power time series forecasting utilising wavelet coefficients

Neurocomputing (Amsterdam), 2022-10, Vol.508, p.182-207

2022

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Solar Power Forecasting Using Pattern Sequences

Artificial Neural Networks and Machine Learning – ICANN 2017, p.486-494

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SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

2021 IEEE International Conference on Data Mining (ICDM), 2021, p.370-378

2021

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Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds

Biosystems engineering, 2021-08, Vol.208, p.164-175

2021

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Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks

Information fusion, 2024-04, Vol.104, p.102180, Article 102180

2024

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Empathy in Undergraduate Medical Students of Bangladesh: Psychometric Analysis and Differences by Gender, Academic Year, and Specialty Preferences

ISRN psychiatry, 2014-04, Vol.2014, p.375439-7

2014

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Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment

Computers and electronics in agriculture, 2020-08, Vol.175, p.105545, Article 105545

2020

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Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction

Trends and Applications in Knowledge Discovery and Data Mining, p.333-344

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An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management

Aquacultural engineering, 2021-11, Vol.95, p.102192, Article 102192

2021

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Pattern Sequence Neural Network for Solar Power Forecasting

Neural Information Processing, p.727-737

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Univariate and multivariate methods for very short-term solar photovoltaic power forecasting

The relationship between medical comorbidities and health-related quality of life among adults with type 2 diabetes: The experience of different hospitals in southern Bangladesh

Association between comorbidity and health-related quality of life in a hypertensive population: a hospital-based study in Bangladesh

Neural Network Ensemble Based Approach for 2D-Interval Prediction of Solar Photovoltaic Power

Forecasting electricity load with advanced wavelet neural networks

Factors associated with low adherence to medication among patients with type 2 diabetes at different healthcare facilities in southern Bangladesh

Covariates of Knowledge, Attitude, Practice, and Burdens among the Caregivers of Hypertensive Patients

PKN3 is the major regulator of angiogenesis and tumor metastasis in mice

Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling

Impaired lymphocyte trafficking in mice deficient in the kinase activity of PKN1

Prevalence and determinants of antibiotics self-medication among indigenous people of Bangladesh: a cross-sectional study

Correlation and instance based feature selection for electricity load forecasting

A data-driven approach based on quantile regression forest to forecast cooling load for commercial buildings

Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting

Solar thermal generation forecast via deep learning and application to buildings cooling system control

Solar power time series forecasting utilising wavelet coefficients

Solar Power Forecasting Using Pattern Sequences

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds

Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks

Empathy in Undergraduate Medical Students of Bangladesh: Psychometric Analysis and Differences by Gender, Academic Year, and Specialty Preferences

Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment

Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction

An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management

Pattern Sequence Neural Network for Solar Power Forecasting

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